IoT-Based Campus Monitoring using LORA Technology – A Review

Abstract

The technology project aims to create a comprehensive monitoring system for a campus environment by utilizing LoRa technology. The project involves the deployment of end nodes equipped with various sensors to monitor different aspects of monitoring, including motion detection using PIR (Passive Infrared) sensors, geofencing using GPS (Neo 6M GPS), and water quality monitoring (TDS, Turbidity, pH sensor), Air quality monitoring. The end nodes are distributed strategically across the campus to cover key areas. Each end node consists of a microcontroller (such as Arduino Uno) connected to a LoRa module, PIR sensor, geofencing module, water quality sensor, and Air quality sensor. The PIR sensor detects motion within its range, allowing the system to identify potential monitoring breaches or unauthorized access. The geofencing module establishes virtual boundaries using GPS or other positioning technologies, enabling the system to detect when individuals or objects enter restricted areas. The water health sensor measures parameters like pH level, temperature, and turbidity to ensure the water bodies within the campus are within acceptable limits, the air quality sensor measures NO2 and CO2. The end nodes communicate wirelessly with a central monitoring system using LoRa technology. The LoRa modules enable long-range communication, allowing the end nodes to transmit data over large distances while consuming minimal power. The central monitoring system receives the data from the end nodes and processes it in real-time.